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Paper Citation Record · LEDGER

ReFT: Representation Finetuning for Language Models

As of 8 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 27 inbound Pith citation observations for arXiv:2404.03592.

A citation records a reference. It does not transfer a finding from one paper to another.

pith.paper-citation-record.v1
2404.03592 v3

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 27 of 27 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-07T06:34:17.273281+00:00

measured 27 of 27 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T15:05:18.938632Z

measured 1 of 1 external citation measurements

A source-named dated measurement, never combined with another source.

Source: arxiv_reference, observed 2026-08-05T02:28:24.338817Z

Reference resolution

0 of 0 outbound references displayed

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  • malformed identifier0
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External citation measurements

4
arxiv_reference, observed 2026-08-05T02:28:24.338817Z

Outbound references

No outbound reference observations are available for this paper version.

Pith citing papers

Observation 598f01aa-8703-463d-8bbb-a76cc672583a · inbound

Test-Time Alignment via Hypothesis Reweighting cites this paper.

Test-Time Alignment via Hypothesis Reweighting ReFT: Representation Finetuning for Language Models

Reference 63

Resolution
verified exact
arxiv_id, observed 2026-05-23T06:57:40.429509Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-05-23T06:55:54.051821Z digest=sha256:3bf1886072133d0d0038f05733b01d9381ff10531841b970c777e085f7be3c01

Observation f3eb90b6-7c7d-4dbc-99ea-16ae47033623 · inbound

Advances and Challenges in Foundation Agents: From Brain-Inspired Intelligence to Evolutionary, Collaborative, and Safe Systems cites this paper.

Advances and Challenges in Foundation Agents: From Brain-Inspired Intelligence to Evolutionary, Collaborative, and Safe Systems ReFT: Representation Finetuning for Language Models

Reference 72

Resolution
verified exact
arxiv_id, observed 2026-05-22T21:42:10.520758Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-05-22T21:39:49.832151Z digest=sha256:ce7bbd37aa6d4b729a569d208a4be3feefad1168c66fb2e5beeacd243f72b486

Observation 50c6d867-dd34-4e29-b1ff-b321fb8aa9d0 · inbound

Amplify Adjacent Token Differences: Enhancing Long Chain-of-Thought Reasoning with Shift-FFN cites this paper.

Amplify Adjacent Token Differences: Enhancing Long Chain-of-Thought Reasoning with Shift-FFN ReFT: Representation Finetuning for Language Models

Reference 43

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no resolver link, observed 2026-08-07T15:05:18.938632Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T15:05:18.938632Z digest=sha256:b1510452842f4bfcaf6bfa5030ecdd5464984e60d0fd8de2db674f0a28718212

Observation b6492f5f-0acb-4fb3-8926-87e8a136e00f · inbound

Improved Representation Steering for Language Models cites this paper.

Improved Representation Steering for Language Models ReFT: Representation Finetuning for Language Models

Reference 51

Resolution
unresolved
no resolver link, observed 2026-08-07T13:51:33.386643Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T13:51:33.386643Z digest=sha256:cbb4d3323d70af86f982509c7216dec0f0e55fd7bfb166096f317c8192d5793f

Observation 3f795873-d19c-46f8-9103-0ee8f35cf793 · inbound

Drop Dropout on Single-Epoch Language Model Pretraining cites this paper.

Drop Dropout on Single-Epoch Language Model Pretraining ReFT: Representation Finetuning for Language Models

Reference 2024

Resolution
unresolved
no resolver link, observed 2026-08-07T12:18:55.792408Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T12:18:55.792408Z digest=sha256:15fd7098f1fd4dc757ec74264d2e92fa359c5afc8ebca26fb00c92460c13bff1

Observation a418dee3-7334-447b-b896-45a9f0069e5e · inbound

Just Enough Shifts: Mitigating Over-Refusal in Aligned Language Models with Targeted Representation Fine-Tuning cites this paper.

Just Enough Shifts: Mitigating Over-Refusal in Aligned Language Models with Targeted Representation Fine-Tuning ReFT: Representation Finetuning for Language Models

Reference 25

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unresolved
no resolver link, observed 2026-08-06T19:57:44.494978Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T19:57:44.494978Z digest=sha256:ffbe0fab1591e0a7c1f97e40bc280717774ae72ac6d9ee0a73fe11fd6cf3699d

Observation 82e2e057-d0e1-417f-8d07-f07a05d2bf59 · inbound

Enhancing Chain-of-Thought Reasoning with Critical Representation Fine-tuning cites this paper.

Enhancing Chain-of-Thought Reasoning with Critical Representation Fine-tuning ReFT: Representation Finetuning for Language Models

Reference 33

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unresolved
no resolver link, observed 2026-08-06T17:52:37.821689Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T17:52:37.821689Z digest=sha256:97fa74af9025b1170efa171fc08fdc2ca3874383cf1bee0c320317516ed53b4b

Observation 493d3f4d-1267-41c4-b8a4-1543c6c5be7b · inbound

Infogen: Generating Complex Statistical Infographics from Documents cites this paper.

Infogen: Generating Complex Statistical Infographics from Documents ReFT: Representation Finetuning for Language Models

Reference 2023

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unresolved
no resolver link, observed 2026-08-06T13:56:31.443834Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T13:56:31.443834Z digest=sha256:6e56378f1a76b966c4209108b189d35733b65b1c5ab67f8072332fcb08aa2a50

Observation 572e3f72-34eb-4b4e-bb4e-08b41562ffdd · inbound

Mitigating Catastrophic Forgetting in Large Language Models with Forgetting-aware Pruning cites this paper.

Mitigating Catastrophic Forgetting in Large Language Models with Forgetting-aware Pruning ReFT: Representation Finetuning for Language Models

Reference 32

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unresolved
no resolver link, observed 2026-08-04T21:01:50.159542Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-04T21:01:50.159542Z digest=sha256:b393d8d0223462ca773f8a7ce07465ae052b032d649616d15ce4bc3f157659ff

Observation 4c019d95-7711-4638-9904-659a3c51afc6 · inbound

You Had One Job: Per-Task Quantization Using LLMs' Hidden Representations cites this paper.

You Had One Job: Per-Task Quantization Using LLMs' Hidden Representations ReFT: Representation Finetuning for Language Models

Reference 8

Resolution
metadata mismatch
arxiv_id, observed 2026-05-21T18:50:30.147028Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-05-21T18:46:04.926179Z digest=sha256:39268adc9c596baa778dc487bb5ccb05aaa9820df68f39756ae141ce9b17ca1d

Observation ec84154c-0c77-46fc-9396-3082fb9b47e0 · inbound

You Had One Job: Per-Task Quantization Using LLMs' Hidden Representations cites this paper.

You Had One Job: Per-Task Quantization Using LLMs' Hidden Representations ReFT: Representation Finetuning for Language Models

Reference 8

Resolution
unresolved
no resolver link, observed 2026-08-03T23:21:37.760607Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-03T23:21:37.760607Z digest=sha256:9002974c33f6b20fa18b6cd7eb1d71b2f5823538c7984a9019d7acd06fb525d9

Observation c873a3cd-e5c0-4803-895f-b9c572445dbb · inbound

Dynamically Scaled Activation Steering cites this paper.

Dynamically Scaled Activation Steering ReFT: Representation Finetuning for Language Models

Reference 7

Resolution
unresolved
no resolver link, observed 2026-08-03T18:48:26.562615Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-03T18:48:26.562615Z digest=sha256:2d1fd182875066c3cc6163d8e3961f4a681751da4d07d76b16abede8e40b02b3

Observation 7749e587-eb8f-49ae-b131-3b82309eb5ff · inbound

ATLAS: Constitution-Conditioned Latent Geometry and Redistribution Across Language Models and Neural Perturbation Data cites this paper.

ATLAS: Constitution-Conditioned Latent Geometry and Redistribution Across Language Models and Neural Perturbation Data ReFT: Representation Finetuning for Language Models

Reference 17

Resolution
metadata mismatch
arxiv_id, observed 2026-05-10T05:56:10.964883Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-05-10T05:55:41.400468Z digest=sha256:75f6cb65b9e1729a246ec277c774dc0f6d5ca826e1fd6087348c5643e7b28ca1

Observation e666dbb3-0936-47fd-8c8b-a1e1b8ad201c · inbound

Conceptors for Semantic Steering cites this paper.

Conceptors for Semantic Steering ReFT: Representation Finetuning for Language Models

Reference 33

Resolution
metadata mismatch
arxiv_id, observed 2026-05-11T17:46:06.817414Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-05-08T17:16:25.761795Z digest=sha256:43f957ec7d6d3e1b56a814eb50fadd50009dedf42cfe2f1e8500e0ac18f40779

Observation 7c397001-3f97-4579-93ea-687ad3cd1b8a · inbound

Decodable but Not Corrected by Fixed Residual-Stream Linear Steering: Evidence from Medical LLM Failure Regimes cites this paper.

Decodable but Not Corrected by Fixed Residual-Stream Linear Steering: Evidence from Medical LLM Failure Regimes ReFT: Representation Finetuning for Language Models

Reference 74

Resolution
metadata mismatch
arxiv_id, observed 2026-05-11T19:31:10.562160Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-05-08T11:42:16.090162Z digest=sha256:6ce80e1fc994bdf54173870665ba62e241ac2872577dcef0e90b42011f6a744e

Observation 0c20fcae-52ae-4243-ae84-728ac04c1614 · inbound

Inference Time Causal Probing in LLMs cites this paper.

Inference Time Causal Probing in LLMs ReFT: Representation Finetuning for Language Models

Reference 21

Resolution
verified exact
arxiv_id, observed 2026-05-11T04:15:56.655829Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-05-11T01:52:57.771365Z digest=sha256:4cb754c44cd14e2a678e556bb6060d4ce6829879deaf212c92b71b21792bbdf2

Observation cb3374a0-800c-41f3-8d19-c044c05e6271 · inbound

WriteSAE: Sparse Autoencoders for Recurrent State cites this paper.

WriteSAE: Sparse Autoencoders for Recurrent State ReFT: Representation Finetuning for Language Models

Reference 84

Resolution
metadata mismatch
arxiv_id, observed 2026-05-14T20:59:28.728191Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-05-14T20:53:40.666929Z digest=sha256:78072ad0d4bf5cd449aca03f348451c29659f723954b4838545ff9d78f4d0a50

Observation 5c7fa756-dd6a-45b9-a9c2-b8724b815aa8 · inbound

WriteSAE: Sparse Autoencoders for Recurrent State cites this paper.

WriteSAE: Sparse Autoencoders for Recurrent State ReFT: Representation Finetuning for Language Models

Reference 84

Resolution
metadata mismatch
arxiv_id, observed 2026-05-15T04:59:45.198036Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-05-15T04:59:11.877068Z digest=sha256:93ab837666d80debca4ef6814c85481336ef727c3ca1c29f6d6f768fecc77b5e

Observation fc2a5594-641a-427c-b683-63fc7f3df93e · inbound

PluRule: A Benchmark for Moderating Pluralistic Communities on Social Media cites this paper.

PluRule: A Benchmark for Moderating Pluralistic Communities on Social Media ReFT: Representation Finetuning for Language Models

Reference 89

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arxiv_id, observed 2026-05-20T14:08:20.663365Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-05-20T14:05:14.737146Z digest=sha256:8aa0889559428ead5b0fb3a85dfa9f2ce40d99279467b1bd58964db415328000

Observation b08f1d97-8894-4303-a109-d45ba183695b · inbound

UniSteer: Text-Guided Flow Matching in Activation Space for Versatile LLM Steering cites this paper.

UniSteer: Text-Guided Flow Matching in Activation Space for Versatile LLM Steering ReFT: Representation Finetuning for Language Models

Reference 22

Resolution
metadata mismatch
arxiv_id, observed 2026-06-29T08:13:15.605647Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-06-29T08:06:57.884950Z digest=sha256:93432096a4b380cd4c9d65a4db89c30cc3363f58432cfddd0b33538720dcbf70

Observation 48d25e09-f278-4ff2-91ce-580b690d697c · inbound

TALAN: Task-Aligned Latent Adaptation Networks for Targeted Post-Training of Large Language Models cites this paper.

TALAN: Task-Aligned Latent Adaptation Networks for Targeted Post-Training of Large Language Models ReFT: Representation Finetuning for Language Models

Reference 26

Resolution
metadata mismatch
arxiv_id, observed 2026-07-02T16:57:09.506874Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-06-27T22:18:34.218251Z digest=sha256:16910bc91eb599e359ddfb59393e4b3dc02a1c4a1bb0654d2460d6e559d1c8d2

Observation 4658143a-772f-46c5-b9ff-9245bb3baa82 · inbound

Recoverable but Not Stationary:Local Linear Structures in Weights and Activations cites this paper.

Recoverable but Not Stationary:Local Linear Structures in Weights and Activations ReFT: Representation Finetuning for Language Models

Reference 21

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metadata mismatch
arxiv_id, observed 2026-07-03T04:27:37.336572Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-06-27T13:51:39.893972Z digest=sha256:5e4ce812b3a47bb72436aa07091171d928f9f91abea8617b7e78a74f8fbb34bd

Observation e71fa202-761b-4de3-b1fa-a7c697829c80 · inbound

On The Effectiveness-Fluency Trade-Off In LLM Conditioning: A Systematic Study cites this paper.

On The Effectiveness-Fluency Trade-Off In LLM Conditioning: A Systematic Study ReFT: Representation Finetuning for Language Models

Reference 174

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metadata mismatch
arxiv_id, observed 2026-07-03T11:08:03.476896Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-06-27T09:40:48.736006Z digest=sha256:ff4c7129a41b4800315896661b3304c4cef7d7678e1a6c63d533ff545f3b6ba6

Observation 432f68ed-c554-47ca-a30d-6bb703f08691 · inbound

Want Better Synthetic Data? Steer It: Activation Steering for Low-Resource Language Generation cites this paper.

Want Better Synthetic Data? Steer It: Activation Steering for Low-Resource Language Generation ReFT: Representation Finetuning for Language Models

Reference 17

Resolution
metadata mismatch
arxiv_id, observed 2026-07-03T21:18:58.529050Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-06-27T00:46:36.000415Z digest=sha256:2f923248ae5ddc50d2bbfb2a019c13fabd6ad2de926f39d2a6824f5ed8063134

Observation 1cd1b8be-1d1c-400a-acff-4036c7720e23 · inbound

At the Edge of Understanding: Sparse Autoencoders Trace The Limits of Transformer Generalization cites this paper.

At the Edge of Understanding: Sparse Autoencoders Trace The Limits of Transformer Generalization ReFT: Representation Finetuning for Language Models

Reference 64

Resolution
metadata mismatch
arxiv_id, observed 2026-06-26T01:28:50.549829Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-06-26T01:27:39.812228Z digest=sha256:9ffd1b75a7df48c75fe8b194d3205dcf0eb7d428a9f59f182c8509569bf5790b

Observation 6754ccb3-32e8-4bdd-b205-a39ebf0180d0 · inbound

First-Order Predictable but Pairwise Fragile: Local Task Adaptation in Trained Transformers cites this paper.

First-Order Predictable but Pairwise Fragile: Local Task Adaptation in Trained Transformers ReFT: Representation Finetuning for Language Models

Reference 48

Resolution
unresolved
no resolver link, observed 2026-08-01T19:55:53.978071Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-01T19:55:53.978071Z digest=sha256:37ab264efde6f38f0924db35695d3da92a16e0241b5f7a0030588c88f581f2fe

Observation fa4c3e9d-849a-446e-8262-dce7edfed99f · inbound

Agent Security Needs Redefinition through a Holistic Framework cites this paper.

Agent Security Needs Redefinition through a Holistic Framework ReFT: Representation Finetuning for Language Models

Reference 167

Resolution
unresolved
no resolver link, observed 2026-08-01T06:04:46.122584Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-01T06:04:46.122584Z digest=sha256:4398c9589dec3ca96ad4215aacd2bd230d0b84615e54fbd2ff010f74209af670